Data from multi environment agronomic trials, which are often carried out by plant breeders, can be analyzed with the tools offered by this package such as the Additive Main effects and Multiplicative Interaction model or 'AMMI' ('Gauch' 1992, ISBN:9780444892409) and the Site Regression model or 'SREG' ('Cornelius' 1996, <doi:10.1201/9780367802226>). Since these methods present a poor performance under the presence of outliers and missing values, this package includes robust versions of the 'AMMI' model ('Rodrigues' 2016, <doi:10.1093/bioinformatics/btv533>), and also imputation techniques specifically developed for this kind of data ('Arciniegas-Alarcón' 2014, <doi:10.2478/bile-2014-0006>).
Version: 0.4.0 Depends: R (≥ 2.12.0) Imports: stats, GGEBiplots, ggforce, ggplot2, scales, MASS, pcaMethods, rrcov, dplyr, missMDA, calibrate, graphics, reshape2, matrixStats, tidyr, prettydoc, rlang Suggests: agridat, spelling, knitr, rmarkdown, testthat Published: 2022-07-20 DOI: 10.32614/CRAN.package.geneticae Author: Julia Angelini [aut, cre], Marcos Prunello [aut], Gerardo Cervigni [aut] Maintainer: Julia Angelini <jangelini_93 at hotmail.com> BugReports: https://github.com/jangelini/geneticae/issues License: GPL-2 URL: https://jangelini.github.io/geneticae/ NeedsCompilation: no Language: en-US Materials: README, NEWS In views: Agriculture, MissingData CRAN checks: geneticae results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=geneticae to link to this page.
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